Experimental results showed that the proposed RF classification system has outperformed the typical SVMs classification algorithm. 展开 关键词: Learning analytics Blended learning Features extraction Learning management systems (LMS Moodle Random forests (RF Support vector machines (SVMS ...
The Role of Gamification Research in Human Resource Management: A PRISMA Analysis and Future Research Direction: The goal of the current study is to synthesize and intellectualize, through a systematic literature review (SLR), the current state of gamification ... S Mohanty,CB Prabu - 《Sage Op...
total cholesterol and glycated-haemoglobin levels. In retrospectively measured prospective datasets from a population-based study, baseline measurements performed by the deep-learning system were associated with incident CVD. Our findings motivate the development of clinically applicable explainable end-to-end...
Landslide susceptibility evaluation and management using different machine learning methods in the Gallicash River Watershed, Iran.Remote Sens.12(3), 475 [4] Audebert, N., Le Saux, B., Lefèvre, S., 2019. Deep learning for classification of hyperspectral data: A comparative review.IEEETrans....
The bug reports are submitted into the bug tracking system with ... S Mani,A Sankaran,R Aralikatte - International Conference Data Science & Management 被引量: 0发表: 2019年 Systematic Review of Bug Report Processing Techniques to Improve Software Management Performance This study further ...
model intended to predict distance education students' year-end academic performance using the first eight-week data on the learning management system. First... O Yildiz,A Bal,S Gulsecen - 《International Review of Research in Open & Distance Learning》 被引量: 11发表: 2013年 FUZZY LOGIC APPR...
d Department of Watershed Management Engineering, Sari Agricultural Science and Natural Resources University, Sari, Iran; e Department of Geoinformatics-Z_GIS, University of Salzburg, Salzburg, 5020, Austria; f Department of Watershed and Arid Zone Management, Gorgan University of Agricultural Science...
This information can be used to optimize crop management practices and ultimately improve crop yield. However, to achieve accurate results, it is essential to consider the quality and resolution of the input data, as well as the availability of labeled training data. Appropriate pre-processing and...
These days, many recommender systems (RS) are utilized for solving information overload problem in areas such as e-commerce, entertainment, and social medi
On the one hand, metacognition was revealed as necessary for the suitable use of cognitive and resource-management strategies (Berthold, Nückles, & Renkl, 2007); on the other hand, metacognitive strategies only have been proved to be conducive for learning outcomes if simultaneously adequate cogniti...